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zawster/README.md

About Me:

Senior AI/ML Engineer and Data Scientist with 5+ years of experience building production-grade AI systems and data-driven solutions. I focus on transforming complex data into scalable models and intelligent systems that drive business impact and operational efficiency.

What I Do

  • 🧠 AI & Machine Learning – Design and deploy intelligent systems for prediction, automation, and optimization.
  • ⚙️ Production AI Systems – Build scalable ML pipelines and production-ready AI solutions.
  • 📊 Data Strategy & Analytics – Translate complex datasets into actionable insights that support business decisions.
  • 🧩 Problem Solving – Break down complex challenges and deliver practical, high-impact solutions across domains.
  • 🤝 Collaboration – Work with engineers, analysts, and stakeholders to turn ideas into production systems.

Currently Working On

  • Developing production-grade AI-powered solutions for automation, optimization, and predictive analytics.

Ask Me About

  • Machine Learning, LLMs, MLOps, and Applied AI in production systems

Beyond Work

  • ☕ I enjoy making chaye (tea) — my favorite thinking fuel while designing systems.
  • 🍽️ I love exploring new food spots and trying different cuisines.
  • ✍️ I occasionally share insights on AI and Data Science through blogs and discussions.

🌐 Socials:

Facebook Instagram LinkedIn Stack Overflow X

💻 Tech Stack

  • Programming Languages

    Python C++ C Java

  • AI / Machine Learning / GenAI

    PyTorch TensorFlow Keras scikit-learn SciPy LangChain LangGraph OpenAI HuggingFace Google ADK Claude Code

  • Data Analysis & Visualization

    NumPy Pandas Matplotlib OpenCV

  • Backend & APIs

    FastAPI Flask Django Gunicorn Nginx

  • Databases & Search

    PostgreSQL MySQL MongoDB SQLite Cassandra Elasticsearch Snowflake

  • MLOps, DevOps & Cloud

    MLflow Apache Airflow Docker Kubernetes AWS Google Cloud Azure DigitalOcean

  • Messaging, CI/CD & Tooling

    Apache Kafka Redis Git GitHub Actions Jenkins


📕 Latest Blog Posts

📊 GitHub Stats:



Dev Joke


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  1. Spot-Nuclei-Speed-Cruice Spot-Nuclei-Speed-Cruice Public

    Find the nuclei in divergent images to using UNet

    Jupyter Notebook

  2. Time-Series-Demand-Prediction Time-Series-Demand-Prediction Public

    Machine learning-driven time-series product demand forecasting to optimize inventory and business planning.

    Jupyter Notebook

  3. Intent_Recognition Intent_Recognition Public

    Intent Recognition with Bert Model In Google Colab TPU using Tensorflow

    Jupyter Notebook 4 3

  4. Countour-Features Countour-Features Public

    Features of Countours- OpenCV

    Jupyter Notebook

  5. DS_Routine_Lab DS_Routine_Lab Public

    A personal work repo of Python scripts for routine Data Science tasks, GenAI experiments, and LLM workflows.

    Jupyter Notebook

  6. phish-guard phish-guard Public

    Real-time phishing URL detection using ML and PhishTank database

    Python